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Olivier Mesnil
Olivier Mesnil
Researcher in SHM
Verified email at cea.fr
Title
Cited by
Cited by
Year
Instantaneous and local wavenumber estimations for damage quantification in composites
O Mesnil, CAC Leckey, M Ruzzene
Structural Health Monitoring 14 (3), 193-204, 2015
1122015
Sparse wavefield reconstruction and source detection using compressed sensing
O Mesnil, M Ruzzene
Ultrasonics 67, 94-104, 2016
902016
Defect sizing in guided wave imaging structural health monitoring using convolutional neural networks
R Miorelli, C Fisher, A Kulakovskyi, B Chapuis, O Mesnil, O D’almeida
NDT & E International 122, 102480, 2021
432021
Supervised learning strategy for classification and regression tasks applied to aeronautical structural health monitoring problems
R Miorelli, A Kulakovskyi, B Chapuis, O D’almeida, O Mesnil
Ultrasonics 113, 106372, 2021
392021
Fast wavenumber measurement for accurate and automatic location and quantification of defect in composite
O Mesnil, H Yan, M Ruzzene, K Paynabar, J Shi
Structural Health Monitoring 15 (2), 223-234, 2016
292016
Damage quantification in an aluminium-CFRP composite structure using guided wave wavenumber mapping: Comparison of instantaneous and local wavenumber analyses
Y Lugovtsova, J Bulling, O Mesnil, J Prager, D Gohlke, C Boller
NDT & E International 122, 102472, 2021
272021
Validation of spectral finite element simulation tools dedicated to guided wave based structure health monitoring
O Mesnil, A Imperiale, E Demaldent, B Chapuis
AIP Conference Proceedings 2102 (1), 2019
222019
Guided wave imaging of composite plates using passive acquisitions by fiber Bragg gratings
A Recoquillay, T Druet, S Nehr, M Horpin, O Mesnil, B Chapuis, G Laffont, ...
The Journal of the Acoustical Society of America 147 (5), 3565-3574, 2020
192020
Experimental validation of transient spectral finite element simulation tools dedicated to guided wave-based structural health monitoring
O Mesnil, A Recoquillay, T Druet, V Serey, HT Hoang, A Imperiale, ...
Journal of Nondestructive Evaluation, Diagnostics and Prognostics of …, 2021
162021
Experimental and numerical determination of the wave dispersion characteristics of complex 3D woven composites
V Thierry, O Mesnil, D Chronopoulos
Ultrasonics 103, 106068, 2020
152020
Simulation tools for guided wave based structural health monitoring
O Mesnil, A Imperiale, E Demaldent, V Baronian, B Chapuis
AIP Conference Proceedings 1949 (1), 2018
152018
Statistical analysis of guided wave imaging algorithms performance illustrated by a simple structural health monitoring configuration
A Kulakovskyi, O Mesnil, B Chapuis, O d’Almeida, A Lhémery
Journal of Nondestructive Evaluation, Diagnostics and Prognostics of …, 2021
102021
Damage detection with ultrasonic guided waves using machine learning and aggregated baselines
V Nerlikar, O Mesnil, R Miorelli, O D’Almeida
Structural Health Monitoring 23 (1), 443-462, 2024
92024
Machine-learning based temperature compensation for guided wave imaging in structural health monitoring
F Le Bourdais, O Mesnil, O d'Almeida
11th International Symposium on NDT in Aerospace, Nov 2019, Paris-Saclay …, 2019
92019
Defect imaging on CFRP and honeycomb composite structures by guided waves generated and detected by a sparse PZT array
A Kulakovskyi, B Chapuis, O Mesnil, NR Bedreddine, O D’almeida, ...
Structural Health Monitoring 2017, 2017
92017
Self-referenced robust guided wave based defect detection: Application to woven composite parts of complex shape
O Mesnil, A Recoquillay, C Fisher, V Serey, S Sharma, O d’Almeida
Mechanical Systems and Signal Processing 188, 109948, 2023
82023
Defect imaging in layered composite plates and honeycomb sandwich structures using sparse piezoelectric transducers network
A Kulakovskyi, O Mesnil, A Lhémery, B Chapuis, O d’Almeida
Journal of Physics: Conference Series 1184, 012001, 2019
82019
Instantaneous wavenumber estimation for damage quantification in layered plate structures
O Mesnil, CAC Leckey, M Ruzzene
Health Monitoring of Structural and Biological Systems 2014 9064, 106-114, 2014
82014
Automatic defect localization and characterization through machine learning based inversion for guided wave imaging in SHM
R Miorelli, A Kulakovskyi, O Mesnil, O d’Almeida
AIP Conference Proceedings 2102 (1), 2019
72019
Model assisted probability of detection for guided wave imaging structural health monitoring
P Calmon, O Mesnil, R Miorelli, X Artusi, B Chapuis, O D’almeida
Structural Health Monitoring 2019, 2019
52019
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